IKONOS image fusion process using steepest descent method with bi-linear interpolation
Abstract:There are many image fusion processes to produce a high-resolution multispectral (MS) image from low-resolution MS and high-resolution panchromatic (PAN) images. But the most significant problems are colour distortion and fusion quality. Previously, we reported a fusion process that produced a1 m resolution IKONOS fused image with minimal spectral distortion. However, block distortion appeared at the edge of the curved sections of the fused image, which was reduced by performing the wavelet transformation as a post-process. Here, we propose an image fusion process using the steepest descent method with bi-linear interpolation, which can remove block distortion without using wavelet transformation. Bi-linear interpolation provides the proper initial values of the fused image, and then the steepest descent method produces the optimum results of the fusion process. These results achieve improvement on the spectral as well as spatial quality of a1 m resolution fused image when compared with other existing methods and remove block distortion completely.
Document Type: Research Article
Affiliations: 1: Centre for Northeast Asian Studies,Tohoku University, Sendai,980-8579, Japan 2: Department of Information and Communication Engineering, Faculty of Engineering,Tohoku Institute of Technology, Sendai, Japan
Publication date: January 20, 2013